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Ligue 1 23/24
AM

Amin Sarr

Striker 86% of 7 recent starts Olympique LyonnaisLigue 1 23/24

Also in: Serie ABundesliga

Next match
Olympique Lyonnais vs Nice›
Sun 18 Oct

Shot map Foul map

Last games
max 16 on record
What a window counts

Hit rates count the most recent completed games, newest first — reaching back into earlier seasons when the current one is short, and into games for a previous club, including in another league we cover.

All markets last 10 games

Compared with a Ligue 1 striker, 25/26, 1,182 appearances

Bet line
MarketHit rateModel
Shots on target0.94 per 90
40%
4 of 100.9×
Total shots1.65 per 90
50%
5 of 100.7×
Fouls won1.18 per 90
30%
3 of 100.6×
Fouls committed2.13 per 90
60%
6 of 101.1×
Tackles0.94 per 90
40%
4 of 101.3×
0%
0 of 10
Cards0.00 per 90
0%
0 of 10
Goals0.00 per 90
0%
0 of 10
form only
Assists0.24 per 90
10%
1 of 101.3×
form only
No bookmaker prices for this fixture yet. Player markets are usually priced closer to kickoff, and not every fixture carries every market. The hit rates and match-up above are complete either way.
Hit rate, per-90 and the market price are free. Switch the bet line above — each carries its own price where the bookmaker offers one. What’s paid is the model’s edge: whether that price is wrong. Rare tails the model can’t beat, like 3+ on target, stay hit-rate-only.

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Over the last 10 Ligue 1 games, Amin Sarr has hit 1+ shot on target in 40% (4 of 10), 1+ total shot in 50%, 1+ foul committed in 60%, 1+ foul won in 30%, and been booked in 0% (0 of 10). These are raw hit rates from completed matches, not odds.

last 10

Comparable strikers

Amin Sarr has no Ligue 1 record yet, so this profile is drawn from the Serie A 25/26 season. These are the closest 5 Ligue 1 strikers by standing within their own league — not by matching output, which does not carry across leagues. A reference for the rates above, not a forecast.

PlayerAppsShots/90Fouls/90
Amin SarrHellas VeronaSerie A 341.57 2.07
Jean-Philippe KrassoParis FC 252.21 1.64
Youssef El ArabiNantes 251.38 2.02
Lanroy MachineAngers 222.62 1.57
Sékou MaraRC Strasbourg 272.41 1.97
Giorgi KvilitaiaMetz 102.15 1.97
These 5, combined 2.12 1.85

Recent matches

The last 10 games Amin Sarr featured in — minutes and the counts that settle these markets.

MatchMinSoTShots FoulsWonTckCards
@ Nice27 Aug 71 1 1 1 2 1 0
Montpellier19 Aug 22 1 1 1 0 0 0
@ RC Strasbourg13 Aug 12 0 3 0 0 0 0
@ Nice3 Jun 14 1 1 1 0 1 0
Stade de Reims27 May 10 0 0 0 0 0 0
@ Clermont Foot14 May 65 1 1 0 2 1 0
@ RC Strasbourg28 Apr 16 0 0 2 0 1 0
@ Paris Saint-Germain2 Apr 23 0 0 0 0 0 0
Nantes17 Mar 58 0 0 1 0 0 0
@ Lille10 Mar 90 0 0 3 1 0 0

Frequently asked

How often does Amin Sarr have a shot on target?

Over the last 10 Ligue 1 games, Amin Sarr has hit 1+ shot on target in 40% (4 of 10). That's the raw hit rate from completed matches; SharpXI's model turns it into a true probability by adjusting for the opponent and expected minutes, then compares it with the bookmaker's price as offered.

How many shots on target does Amin Sarr average?

Across the last 10 Ligue 1 games, Amin Sarr is averaging 0.94 shots on target and 1.65 total shots per 90 minutes. SharpXI treats that as a starting rate, then adjusts for the opponent and expected minutes before pricing a 1+ or 2+ line.

How often does Amin Sarr get booked?

Amin Sarr is averaging 0.00 cards per 90 over the last 10 games. Bookings swing heavily on the referee, so the model multiplies a player's base rate by each official's card tendency — the biggest single lever in the to-be-carded market.

Does Amin Sarr commit or win more fouls?

Over the last 10 games Amin Sarr commits 2.13 fouls per 90 and wins 1.18 — committing more than winning. Fouls committed and fouls won are separate markets, each modelled from the player's rate and the opponent faced.

Which player markets does SharpXI model for Amin Sarr?

Shots on target, total shots, fouls committed, fouls won and to be carded — each as a true probability, compared with the bookmaker's price as offered. Amin Sarr plays as a forward.

Rates shown are raw counts from public match data for context; the model adds shrinkage, opponent and referee factors before flagging value, and compares against the bookmaker's price as offered — player markets are priced one side only, so that price still carries the bookmaker's margin. 18+ — please gamble responsibly.